Video Inpainting Algorithm Using Spatio-Temporal Consistency

被引：0
|
作者：
Lee, Sang-Heon [2 ]
Lee, Soon-Young [2 ]
Heu, Jun-Hee [2 ]
Kim, Chang-Su [1 ]
Lee, Sang-Uk [2 ]
机构：
[1] Seoul Natl Univ, Sch Elect Engn, San 56-1, Seoul 151742, South Korea
[2] Seoul Natl Univ, Signal Proc Lab, Sch Elect Engn, Seoul 151, South Korea
来源：
COMPUTATIONAL IMAGING VII | 2009年 / 7246卷
关键词：
inpainting; restoration; optimization; video editing; spatio-temporal inpainting;
D O I：
10.1117/12.805892
中图分类号：
TH742 [显微镜];
学科分类号：
摘要：
A new video inpainting algorithm is proposed for removing unwanted or erroneous objects from video data. The proposed algorithm fills a mask region with source blocks from unmasked areas, while keeping spatio-temporal consistency. First, a 3-dimensional graph is constructed over consecutive frames. It defines a structure of nodes over which the source blocks are pasted. Then, we form temporal block bundles using the motion information. The best block bundles, which minimize an objective function, are arranged in the 3-dimensional graph. Extensive simulation results demonstrate that the proposed algorithm can yield visually pleasing video inpainting results even for dynamic sequences.
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页数：8
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